Gen AI Developer

Evoke Technologies; Hyderabad, Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Evoke Technologies in Hyderabad seeks a senior software professional with 5+ years of experience in Python and GenAI to build AI Agents, multi-agent workflows, and GenAI applications. You will design RAG pipelines, agent orchestration, and LLM integrations using Bedrock, OpenAI, or Azure OpenAI.

You will apply prompt engineering, guardrails, and Responsible AI practices while ensuring scalable, production-ready, and observable GenAI systems with cost monitoring and CI/CD pipelines.

Qualifications

• 5+ years of software development experience with Python and GenAI.
• Experience building AI Agents, multi-agent workflows, RAG pipelines, agent orchestration, tool/function calling, and LLM integrations.
• Strong knowledge of prompt engineering, guardrails, Responsible AI, LLM observability, performance optimization, and token/cost monitoring.

Responsibilities

• Identify and implement scalable GenAI solutions with AI Agents and multi-agent workflows.
• Develop and deploy AI-powered applications using cloud platforms (Bedrock, OpenAI, Azure OpenAI).
• Ensure secure, production-ready GenAI deployments with CI/CD and observability.

Skills

Python

GenAI

LangChain

LangGraph

AI Agents

Multi-agent workflows

RAG pipelines

Agent orchestration

Tool calling

LLM integrations

Prompt engineering

Guardrails

Responsible AI

LLM observability

Performance optimization

Token/cost monitoring

CI/CD

Embeddings

Vector databases

Semantic search

Amazon Bedrock

Azure OpenAI

OpenAI

Tools

Amazon Bedrock

Azure OpenAI

OpenAI

Job description

Role & responsibilities

• Looking for candidates with 5+ years of software development experience and strong expertise in Python, GenAI, LangChain, and LangGraph.
• Must have hands‑on experience building AI Agents, multi‑agent workflows, RAG pipelines, agent orchestration, tool/function calling, and LLM integrations using platforms such as Amazon Bedrock, Azure OpenAI, or OpenAI.
• Strong knowledge of Prompt Engineering, structured outputs, guardrails, Responsible AI, LLM observability, performance optimization, and token/cost monitoring is required, along with experience deploying scalable, secure, and production‑ready GenAI applications using cloud and CI/CD.
• Experience with embeddings, vector databases, semantic search, and vector search.
• Experience developing AI Agents / Agentic AI solutions using Amazon Bedrock.